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DepthPro Coreml Pruned 10 Quantized Linear

This repo contains DepthProPruned10QuantizedLinear.mlpackage(1100 MB).

ArtOtherBasismodellapple/DepthProVersionRevision e0f8d64CBewertung

Modellquelle

Art
Other
Dateigröße
1,02 GB
Basismodell
apple/DepthPro
Version
vRevision e0f8d64
Aktualisiert
1. Nov. 2026
Downloads
7
Quelle
Hugging Face

Quellenbeschreibung

This repo contains DepthProPruned10QuantizedLinear.mlpackage(1100 MB).

This model was first pruned to 10% sparsity, then the weights were linearly quantized.

DepthPro CoreML Models

DepthPro is a monocular depth estimation model. This means that it is trained to predict depth on a single image.

DepthPro paper

DepthPro original repo

Model Inputs and Outputs

Inputs

  • image: $1536 \times 1536$ 3 color image ($[1 \times 3 \times 1536 \times 1536]$ ImageType).
  • originalWidth: A scalar containing the original width of the image before resizing ($[1 \times 1 \times 1 \times 1]$ TensorType).

Outputs

  • depthMeters: $1536 \times 1536$ 1 channel tensor containing depth in meters ($[1 \times 1 \times 1536 \times 1536]$ Tensor).

Download

Install huggingface-cli

brew install huggingface-cli

To download:

huggingface-cli download \
  --local-dir models --local-dir-use-symlinks False \
  coreml-projects/DepthPro-coreml-pruned-10-quantized-linear \
  --include "DepthProPruned10QuantizedLinear.mlpackage/*""

To download everything, skip the --include argument.

Conversion Tutorial

The huggingface/coreml-examples repository contains sample conversion code for DepthProPruned10QuantizedLinear.mlpackage and other models.

Swift Integration

The huggingface/coreml-examples repository contains sample Swift code for DepthProPruned10QuantizedLinear.mlpackage and other models. See the instructions there to build the demo app, which shows how to use the model in your own Swift apps.

Quellen

1 Quelle
Hugging FacePrimärVersion e0f8d642fa41dd3b186e9f7f715eabed5d1e2fe6
huggingface.co/coreml-projects/DepthPro-coreml-pruned-10-quantized-linear/tree/e0f8d642fa41dd3b186e9f7f715eabed5d1e2fe6

Verifiziert 1. Nov.

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Modellartefakte

1 Artefakt

DepthProPruned10QuantizedLinear.mlpackage/Data/com.apple.CoreML/weights/weight.bin

bin · 1,02 GB · SHA-256 30e4ab1cdc4c…6ab9 · Hugging Face

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Quellenauszüge

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--- tags: - depth-estimation library_name: coreml license: apple-ascl base_model: - apple/DepthPro --- This repo contains [DepthProPruned10QuantizedLinear.mlpackage](DepthProPruned10QuantizedLinear.mlpackage)(1100 MB). This model was first pruned to 10% sparsity, then the weights were linearly quantized. # DepthPro CoreML Models DepthPro is a monocular depth estimation model. This means that it is trained to predict depth on a single image. [DepthPro paper](https://arxiv.org/pdf/2410.02073) [DepthPro original repo](https://huggingface.co/apple/DepthPro) # Model Inputs and Outputs ### Inputs - `image`: $1536 \times 1536$ 3 color image ($[1 \times 3 \times 1536 \times 1536]$ ImageType). - `originalWidth`: A scalar containing the original width of the image before resizing ($[1 \times 1 \times 1 \times 1]$ TensorType). ### Outputs - `depthMeters`: $1536 \times 1536$ 1 channel tensor containing depth in meters ($[1 \times 1 \times 1536 \times 1536]$ Tensor). # Download Install `huggingface-cli` ```bash brew install huggingface-cli ``` To download: ```bash huggingface-cli download \ --local-dir models --local-dir-use-symlinks False \ coreml-projects/DepthPro-coreml-pruned-10-quantized-linear \ --include "DepthProPruned10QuantizedLinear.mlpackage/*"" ``` To download everything, skip the `--include` argument. # Conversion Tutorial The [`huggingface/coreml-examples`](https://github.com/huggingface/coreml-examples/blob/main/tutorials/DepthPro/depth_pro_coreml_guide.ipynb) repository contains sample conversion code for `DepthProPruned10QuantizedLinear.mlpackage` and other models. # Swift Integration The [`huggingface/coreml-examples`](https://github.com/huggingface/coreml-examples/blob/main/DepthProSample/README.md) repository contains sample Swift code for `DepthProPruned10QuantizedLinear.mlpackage` and other models. See [the instructions there](https://github.com/huggingface/coreml-examples/tree/main/DepthProSample) to build the demo app, which shows how to use the model in your own Swift apps.

Source context: 7 downloads · 0 likes · Pipeline depth-estimation · Library coreml · Repo coreml-projects/DepthPro-coreml-pruned-10-quantized-linear

Source context: 19 downloads · 0 likes · Pipeline depth-estimation · Library coreml · Repo coreml-projects/DepthPro-coreml-pruned-10-quantized-linear